Statistical machine translation (SMT) is a machine translation approach where translations are generated on the basis of statistical models whose parameters...

Machine translation is use of computational techniques to translate text or speech from one language to another, including the contextual, idiomatic and...

when statistical machine translation was prevalent, some works used neural methods to replace various parts in the statistical machine translation while...

Machine translation is a sub-field of computational linguistics that investigates the use of software to translate text or speech from one natural language...

Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language...

usability evaluation. A typical way for lay people to assess machine translation quality is to translate from a source language to a target language and back...

Rule-based machine translation (RBMT) is a classical approach of machine translation systems based on linguistic information about source and target languages...

Example-based machine translation Rule-based machine translation Comparison of machine translation applications Statistical machine translation Artificial...

machine translation, including statistical machine translation, also use bilingual corpora to learn the process of translation. Example-based machine...

Both transfer-based and interlingua-based machine translation have the same idea: to make a translation it is necessary to have an intermediate representation...

maybe impossible for a wider domain. Statistical machine translation (SMT) is generated on the basis of statistical models whose parameters are derived...

Machine translation is an algorithm which attempts to translate text or speech from one natural language to another. Basic general information for popular...

Interactive machine translation (IMT), is a specific sub-field of computer-aided translation. Under this translation paradigm, the computer software that...

suffers from many problems of normal statistical machine translation, namely that the accuracy of the translation will depend heavily on the similarity...

approach to machine translation is probably the least sophisticated, dictionary-based machine translation is ideally suitable for the translation of long...

Moses is a statistical machine translation engine that can be used to train statistical models of text translation from a source language to a target...

Yandex.Translate switched to a hybrid approach incorporating both statistical machine translation and neural machine translation models. The translation page...

and researcher in the field of machine translation. His primary research interest is statistical machine translation and he is one of the inventors of...

symbolism Statistical machine translation Syntax Synthetic languages Technical translation Terminology Terms with no direct English translation Textual...

applications. Logic translation Translate a text from a natural language into formal logic. Machine translation (MT) Automatically translate text from one human...

Google Translate was revamped to Google Neural Machine Translation, which replaced the previous model based on statistical machine translation. The new...

database Some of the production system design and statistical machine translation system for Google Translate Bigtable, a large-scale semi-structured storage...

translation an adequate method for the assessment of machine translation systems. Koehn, Philipp (2005): "Europarl: A Parallel Corpus for Statistical...

Google Translate was revamped to Google Neural Machine Translation, which replaced the previous model based on statistical machine translation. The new...

in the field because of its application to automated reasoning, machine translation, question answering, news-gathering, text categorization, voice-activation...

models used in statistical machine translation to train a translation model and an alignment model, starting with lexical translation probabilities and...

services, including neural machine translation and artificial intelligence. It has used a statistical machine translation system named Portage developed...

usability of machine translation software output. Do repeated translations converge on a single expression in both languages? I.e. does the translation method...

meaning of an utterance. Applications of semantic parsing include machine translation, question answering, ontology induction, automated reasoning, and...

of machine translation. In 1993, the IBM alignment models were used for statistical machine translation. Compared to previous machine translation systems...